put_agent_recommendation_feedback ¶

def put_agent_recommendation_feedback(
    self,
    recommendation_arn: "capo_wellarchitected.types.agent_recommendation_arn.AgentRecommendationArn",
    type: "capo_wellarchitected.types.recommendation_feedback_type.RecommendationFeedbackType",
    *,
    config_overrides: Optional[WellArchitectedClientConfig] = None,
    feedback_category: Optional[
        "capo_wellarchitected.types.feedback_category.FeedbackCategory"
    ] = None,
    comments: Optional[str] = None,
) -> "capo_wellarchitected.types.put_agent_recommendation_feedback_response.PutAgentRecommendationFeedbackResponse":
    """<p>Submits user feedback on a recommendation to help improve future optimization suggestions and track implementation outcomes.</p>

    Args:
        recommendation_arn: <p>The Amazon Resource Name (ARN) of the recommendation to provide feedback for.</p>
        type: <p>The type of feedback being provided.</p>
        feedback_category: <p>Optional category classifying the nature of the feedback.</p>
        comments: <p>Optional comments providing additional context about the feedback.</p>

    Raises:
        capo_wellarchitected.errors.access_denied_exception.AccessDeniedException: <p>User does not have sufficient access to perform this action.</p>
        capo_wellarchitected.errors.internal_server_exception.InternalServerException: <p>There is a problem with the Well-Architected Tool API service.</p>
        capo_wellarchitected.errors.resource_not_found_exception.ResourceNotFoundException: <p>The requested resource was not found.</p>
        capo_wellarchitected.errors.throttling_exception.ThrottlingException: <p>Request was denied due to request throttling.</p>
        capo_wellarchitected.errors.validation_exception.ValidationException: <p>The user input is not valid.</p>
        capo_wellarchitected.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_wellarchitected.types.put_agent_recommendation_feedback_request.PutAgentRecommendationFeedbackRequest]",
    ) -> OperationResponse[
        "capo_wellarchitected.types.put_agent_recommendation_feedback_response.PutAgentRecommendationFeedbackResponse"
    ]:
        import capo_wellarchitected._operations.well_architected_api_service_lambda.put_agent_recommendation_feedback

        output, http_response = (
            capo_wellarchitected._operations.well_architected_api_service_lambda.put_agent_recommendation_feedback.put_agent_recommendation_feedback(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("PutAgentRecommendationFeedback")
    )
    input_: capo_wellarchitected.types.put_agent_recommendation_feedback_request.PutAgentRecommendationFeedbackRequest = {
        "recommendation_arn": recommendation_arn,
        "type": type,
    }
    if feedback_category is not None:
        input_["feedback_category"] = feedback_category
    if comments is not None:
        input_["comments"] = comments

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output